This pass is to handle computationally complex operations like tensor.pad which are not simply lowered to the exact same operation in the memref dialect. Differential Revision: https://reviews.llvm.org/D125384
48 lines
1.7 KiB
C++
48 lines
1.7 KiB
C++
//===- TensorToLinalgPass.cpp - Tensor to Linalg Passes -------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file implements a pass to convert Tensor dialect to Linalg dialect.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/TensorToLinalg/TensorToLinalgPass.h"
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#include "../PassDetail.h"
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#include "mlir/Conversion/TensorToLinalg/TensorToLinalg.h"
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#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
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#include "mlir/Dialect/Linalg/IR/Linalg.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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using namespace mlir;
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namespace {
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/// A pass converting MLIR Tensor operations into the Linalg dialect.
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class ConvertTensorToLinalgPass
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: public ConvertTensorToLinalgBase<ConvertTensorToLinalgPass> {
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void runOnOperation() override {
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auto &context = getContext();
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ConversionTarget target(context);
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target.addLegalDialect<mlir::arith::ArithmeticDialect,
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mlir::linalg::LinalgDialect,
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mlir::tensor::TensorDialect>();
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target.addIllegalOp<mlir::tensor::PadOp>();
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RewritePatternSet patterns(&context);
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populateTensorToLinalgPatterns(patterns);
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if (failed(applyPartialConversion(getOperation(), target,
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std::move(patterns))))
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return signalPassFailure();
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}
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};
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} // namespace
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std::unique_ptr<OperationPass<ModuleOp>>
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mlir::createConvertTensorToLinalgPass() {
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return std::make_unique<ConvertTensorToLinalgPass>();
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}
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